OpenGLAM Benchmark Survey – Measuring the Advancement of Open Data / Open Content in the Heritage Sector.

Estermann, Beat (2016). OpenGLAM Benchmark Survey – Measuring the Advancement of Open Data / Open Content in the Heritage Sector. Proceedings of the international symposium on the measurement of digital cultural products, pp. 121-140. UNESCO Institute for Statistics

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The widespread digitization of heritage content and the increasing use of social media have triggered many heritage institutions (museums, libraries, archives) to increasingly open up collections and work processes for participation from the outside, as exemplified by open data/open content, social media use, collaborative content creation, and linked data. In order to measure the degree of openness of heritage institutions, a benchmark survey was developed and administered among institutions in several countries. In the present paper we present some of the key findings and discuss the strengths and weaknesses, as well as the challenges and opportunities related to the approach chosen to measure ‘open data’, ‘open content’, and related practices within the heritage sector. In order to give an account of the particularities of our approach we compare it to the one used for the ENUMERATE survey, an international study aimed at the measurement of digitization among heritage institutions, and to the one employed for the Open Data Barometer and the Global Open Data Census, two international efforts to survey the advancement of open government data in a large number of countries. We conclude the paper by suggesting lines for further development.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

Business > Institute for Public Sector Transformation

Name:

Estermann, Beat0000-0003-3050-793X

ISBN:

978-92-9189-210-5

Publisher:

UNESCO Institute for Statistics

Submitter:

Beat Estermann

Date Deposited:

17 Jan 2020 12:35

Last Modified:

18 Dec 2020 13:29

Related URLs:

Uncontrolled Keywords:

cultural heritage, digitization, social media, open data, crowdsourcing, linked data, benchmark survey.

ARBOR DOI:

10.24451/arbor.9495

URI:

https://arbor.bfh.ch/id/eprint/9495

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